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My car got towed and when i got it back the time was flashing and when i tried to turn on the radio is said code. what is the code for a 2004 Honda accord.I put too many false code. Now it said error?
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∙ 15y ago
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Mozart was a Kapellmeister?
False
Two notes of different pitch can be tied true or false?
False. Tied means that the notes are of the same pitch, however the notes can be slurred.
Is kelly rowland sister beyonce true or false?
False
In heavy traffic areas you should wave pedestrians across the street if there is no crosswalk?
False
Were blind lemon Jefferson and blind Blake paid royalties?
true
What is a Type II Error - a false-negative error?
Falling to reject (accepting) a false null hypothesis.
True or false developing a hypothesis is an important contributor to human error?
False. A very important contributor to human error is the false hypothesis or mistaken assumption.
What is Type I Error - a false-positive error?
Rejecting a true null hypothesis.
Is it true or false that the network diagnostics is to display error messages only?
False
True or false A parity error rarely causes the system to halt?
false it ALWAYS causes the system to halt
Is the sentence the value of an error must be positive true or false?
if you meant by absolute error, then yes.
What is a beta error?
A beta error is another term for a type II error, an instance of accepting the null hypothesis when the null hypothesis is false.
Is trial and error always acceptable in scientific investigations?
false
Relationship between type 1 error and type 2 error?
In statistics, there are two types of errors for hypothesis tests: Type 1 error and Type 2 error. Type 1 error is when the null hypothesis is rejected, but actually true. It is often called alpha. An example of Type 1 error would be a "false positive" for a disease. Type 2 error is when the null hypothesis is not rejected, but actually false. It is often called beta. An example of Type 2 error would be a "false negative" for a disease. Type 1 error and Type 2 error have an inverse relationship. The larger the Type 1 error is, the smaller the Type 2 error is. The smaller the Type 2 error is, the larger the Type 2 error is. Type 1 error and Type 2 error both can be reduced if the sample size is increased.
What is the answer to 5 over 11 equals 25?
The answer is either FALSE or ERROR
What is the term for an error made by researchers who only look for evidence that supports their hypothesis?
That sounds to me like a type I error, or a false positive.
What are some synonyms for wrong?
defective, false, at fault, bad, error, incorrect,
